A16z Podcast

One of the biggest misconceptions around network effects (which are one of the key dynamics behind many successful and highly defensible software companies) is confusing growth with engagement. So how does one tell the difference between viral growth and network effects? How does one create network effects in different businesses? (Hint: it's not by accident!) How do you know when to hang in there because you see signs of network effects or just drop it and move on to something else? And what are some examples of teasing all of the above apart? In this episode of the a16z Podcast -- based on an event we hosted and slide deck we released all about network effects -- a16z partners Anu Hariharan and Jeff Jordan (who cover all things marketplaces, consumer, and more) share (in conversation with Sonal Chokshi) their observations, insights, and experiences. Because, why reinvent the, er, flywheel?

We already know that the government is one of the largest IT buyers, but in many ways it is also an IT builder. Especially for areas where the government is doing something that no one else is doing, like running Medicare and Social Security -- i.e., unique services no other company out there is building software for. That's where the USDS comes in. Now almost two years old, the United States Digital Services is "a startup at the White House" responsible for mission-critical, citizen-facing services like improving Veterans' Affairs healthcare applications and benefit claims appeals, or student loan repayments. But can one really operate as a startup while embedded in an entity as complex and huge -- remember, each agency would be like a Fortune 500 company -- as government? It may not be move fast and break things, observes Mikey Dickerson, Google engineer-turned-administrator of the USDS (and one of the fixers of the original healthcare.gov), but "There's a world of difference between moving a

"All of a sudden you can program the world" -- it's the continuation of the software eating the world thesis we put out over five years ago, and of the trajectory of past and current technology shifts. So what are those shifts? What tech trends and platforms do we find most interesting on the heels of raising our fifth fund? Are we just building on and extending existing platforms though, or will there be new platforms; and if so, what will they be? Well, distributed systems for one... This episode of the a16z Podcast covers all things distributed systems -- encompassing cloud and SaaS; A.I., machine learning, deep learning; and quantum computing -- to the role of hardware; future interfaces; and data, big and small. Podcast guests Marc Andreessen and Ben Horowitz (in conversation with Scott Kupor and Sonal Chokshi) also share the one piece of advice from a management and go-to-market perspective that all founders should know. And finally, why simulations matter... and what do we make of our current

Do we need a new pay system for the way startup employees are compensated? While many people agree that the current 90-day exercise practice — an outdated relic of when companies used to go public/get liquidity in a much shorter timeframe — is far from ideal, neither are some of the other solutions proposed so far. Because incentives matter, and behavior follows incentives. Which is fine as long as you know all the implications around what you’re incentivizing for and it aligns to what you want as a founder for your company and employees. So “let’s get it out from under the rug, let’s talk about it, and let’s design a system that works for whatever you want your company to be”, argue a16z partners Ben Horowitz and Scott Kupor in this episode of the a16z Podcast. The discussion goes beyond just the question of a 10-year exercise to other configurations — such as Snapchat’s model and Tesla’s model for timing options, as well as radical experiments like “progressive equity“. What are the tradeoffs of each approa

with Fei-Fei Li (@drfeifei), Frank Chen (@withfries2), and Sonal Chokshi (@smc90) Who has the advantage in artificial intelligence — big companies, startups, or academia? Perhaps all three, especially as they work together when it comes to fields like this. One thing is clear though: A.I. and deep learning is where it’s at. And that’s why this year’s newly anointed Andreessen Horowitz Distinguished Visiting Professor of Computer Science is Fei-Fei Li [who publishes under Li Fei-Fei], associate professor at Stanford University. Bridging entrepreneurs across academia and industry, we began the a16z Professor-in-Residence program just a couple years ago (most recently with Dan Boneh and beginning with Vijay Pande). Li is the Director of the Stanford Vision Lab, which focuses on connecting computer vision and human vision; is the Director of the Stanford Artificial Intelligence Lab (SAIL), which was founded in the early 1960s; and directs the new SAIL-Toyota Center for AI Research, which brings together researche

How far along are we towards the vision of a "cashless, cardless, walletless, frictionless future" for fintech? We're not quite there yet, argued BuzzFeed News technology reporter Charlie Warzel in a recent feature story -- for which he got a microchip implanted in his finger while trying to go cashless for an entire month. But as revolutionary as the chip tech seems, the reality may be that fintech innovation is much more incremental, evolutionary, and still only disintermediating the physical world than truly doing new things (given what's natively possible with web, cloud, and mobile). Will that change now that Apple Pay is coming to the web? Speaking of, what is the platform and what is the product? Especially given a highly fragmented digital wallet and payments market (Warzel eventually ended up with 64 apps just to get through one month). And where, exactly, are the banks in all this? The problem, observes Warzel -- who is joined by a16z Partners Alex Rampell and Angela Strange in this episo

Love the term or hate it, the concept and reality of the "sharing economy" (or "gig economy" and so on) is here to stay. And in fact, argues NYU Stern professor and researcher Arun Sundararajan, it may even reduce the income distribution gap between the haves and have-nots in a way that previous shifts -- like the Industrial Revolution and traditional 20th century institutions -- never did. How? Because it's a new model for (crowd-based) capitalism -- one where we're increasing the segment of the population that owns the means of production. Or... have we just shifted value from traditional institutions to the platforms instead? Well, let's see what the data tells us. In this episode of the a16z Podcast, Sundararajan (who is also affiliated with NYU's Center for Urban Science+Progress and at NYU's Center for Data Science) shares the latest findings, economics research, and more from his new book on The Sharing Economy: The End of Employment and the Rise of Crowd-Based Capitalism. We cover

The world's most valuable company, Apple, made a number of seemingly incremental announcements at its most recent annual developer's conference (WWDC) -- that Apple Pay is coming to the web; that Siri is being opened up to app developers; that iMessage will suggest emoji; and many other things. Underneath all these little feature tweaks however is a bigger story, argue a16z's Benedict Evans, Frank Chen, and Kyle Russell. It's a story about -ification: the "platformification" of apps available on the Apple operating system (they've turned maps into a platform before even Google has); the "widgetification" of everything (using familiar interfaces to ensure continuity across different contexts); and the AI-ification of everyday services (like recognizing faces in photos and predicting, um, emoji). Add it all up though and it means Apple is focusing a lot more on A.I., just like other big tech companies such as Google and Facebook (and don't forget Amazon too!). Only Apple is bringing artifici

The mindset of "move fast and break things", while great for code, isn't exactly great for the human body. So adding computation to biology -- especially in the slow-moving pharmaceutical industry, where drug approval can take years -- brings with it both opportunities (like drastically faster discovery and assessment) and challenges (the need for hard evidence, not just soft-ware). But there's more: We don't want just better outcomes for healthcare. We want better outcomes at a cheaper price. And that's where machine learning comes in. The benefits of such computation -- i.e., software -- can provide a powerful, frictionless, and far more cost-effective tool for biopharmaceutical research ... but it requires data. So who provides that data? Is it the pharmaceutical companies, or the payers (insurance)? How are organizations incented to overcome intellectual property silos in sharing their data? Especially since it was only relatively recently, Jeff Kindler (the former CEO of the world's largest pha

Technology has always been a force in how we live, work, and play; only now it's accelerating and compounding in unexpected ways. But just because we don't know exactly what form that tech will take (sharing homes on Airbnb or cars with Lyft and Uber for example) doesn't mean that the larger force at play (e.g., sharing) didn't have a certain predictability to it. It was almost an inherent -- and inevitable -- outcome of the very nature of the internet itself. And there are at least 12 such inevitable technological forces, shares author Kevin Kelly in his new book Inevitable. As we now move from an "internet of information" to an "internet of experiences" -- with virtual and augmented reality, AI-as-a-service, and more -- we need to accept the inevitable. Instead of fighting tech outcomes (things like tracking for example), we need to expect it, accept it, plan for it, and civilize it. It's not just about policy and laws, though (which should follow tech use); it's about new business oppor

"Anybody who is interested in China, who's developing things in China, who's doing business with China needs to be thinking about the instinct towards politics over pragmatism", argues New Yorker staff writer (and former Beijing resident) Evan Osnos. "It will affect your operations there. It's not the kind of thing where you can be, 'Well, look, we're not interested in politics.'" Osnos, who also wrote the award-winning book The Age of Ambition: Chasing Fortune, Truth, and Faith in the New China, shares experiences and views on the tension between one of the oldest civilizations in the world and newer story of nation-building (is it, like the buildings being built, structurally sound?); an evolving demographic (where "kids you have no idea how good you have it" may no longer be a hedge against politics); and middle-class Chinese, not just outside or elite, complaints about pollution (especially since "environmentalism has often been the front edge of a deeper change in polit

Everything old is new again when it comes to startup ideas and how technology innovation happens. But practically, how does that apply to starting and/or working at startups — especially since the default state of every company is “dying in obscurity”? In this episode of the a16z Podcast, Marc Andreessen and 21 co-founder Balaji Srinivasan cover everything from deciding what ideas to work on and the optimal type of startups to work at, to the funding environment and pendulum swings of deciding when to IPO. They also discuss the VC “formula” of weighting product vs. market vs. team; the full-stack approach to cracking industries that tech could never enter before; and recent tech trends and news including The DAO, AI, VR/AR and the “Instagrammification of everything”, more. And where does Andreessen stand on the “moral dilemma” of whether entrepreneurs should drop out of college or not? Would Srinivasan still do a PhD today? People’s early career goals should be about maximizing learning skills and minimizing

"We really want Apple here... Would you please call Tim Cook?" That's just one of the things Penny Pritzker, the 38th Secretary of Commerce has heard as she and the U.S. Department of Commerce engage in "commercial diplomacy" around the world. Their job is to help overcome trade barriers, represent the interests of entrepreneurs and drive administrative policy change as it relates to technology, and be on the frontline of helping small and medium-sized businesses in markets all around the world -- from Indonesia to Europe to Cuba. So what else have they found about how other countries perceive U.S. tech companies? Especially as they wrangle with issues such as immigration (and not just for high-education visas); E.U. Safe Harbor (which is more difficult for smaller companies) and its update, the transatlantic Privacy Shield agreement; and finally, the TPP or Trans-Pacific Partnership multinational trade agreement (for which some have expressed intellectual property concerns)? And then... s

In many ways, managing startups is about managing uncertainty: in product, market, and... people. So what happens when changes in the business require changes -- and sometimes reductions -- in the workforce? In this episode of the podcast, a16z partners Shannon Schiltz and Alex Rampell share both their professional and personal experiences with layoffs -- from why they happen to what to do (and what not to do).

There's no question automation is taking over more and more aspects of work and some jobs altogether. But we're now entering a "third era" of automation, one which went from taking over dangerous work to dull work and now decision-making work, too. So what will it take to deal with a world -- and a workplace -- where machines could be thought of as colleagues? The key lies in distinguishing between automation vs. augmentation, argue the guests on this episode of the a16z Podcast, IT management professor Thomas Davenport and Harvard Business editor Julia Kirby, who authored the new book Only Humans Need Apply: Winners and Losers in the Age of Smart Machines. But the argument isn't as simple as saying humans will just do the creative, emotionally intelligent work and that machines will do the rest. The future of work is complex and closely tied to the need for structure, identity, and meaning. Which is also why linking the discussion of things like "universal basic income" to the topic of au

Innovation or invention? Platform or app? Vertical or horizontal? Strategy or tactic? Does the smartphone eat VR? And (not to get all existential about it or anything but), what is an app, really? a16z partners Benedict Evans, Connie Chan, Kyle Russell, and board partner Steven Sinofsky explore these tensions in this episode of the podcast as they share some quick reactions to Google I/O, Google's annual developer conference, where the company announced a number of new platform products -- for VR to messaging to the smart home. Maybe most new things are really old things, but maybe those distinctions don't matter as artificial intelligence leaps into how we live our lives, automating (and anticipating) things in a new way...

One of the most important lessons of the internet age is what happens when we give people -- including companies, developers, engineers, hobbyists, and yes, even a few bad (or dumb) actors -- a new platform, along with the freedom to innovate on top of it. For example, who could have predicted how profoundly the internet would change our economy, given how it started off as a research project -- one where commercial applications were actually frowned upon in the early days? Now, the U.S. is on the cusp of opening up another such platform for commercial and social innovation: airspace (think drones, the non-military kind). There's so many use cases for drones that we already know about, but what about new business use cases? And then, on the policy front, how do we calculate the risk of innovation on a platform made up of atoms (drones) vs. bits (the internet)? What are the pros and cons of registration? Because even though drones are like flying smartphones controlled by software, they're also hard objects th

It almost seems like gospel -- or at least a given -- today for startups to embrace the cloud. Services like AWS have powered an entire generation of startups that can now spin up new applications, new businesses, and new experiments with very little investment in new infrastructure. But what about governments -- both in the U.S. and around the world -- trying to adopt the cloud? How do they approach this widely known (yet still nebulous) concept of THE CLOUD? Especially given sometimes competing considerations around security and compliance with the desire to innovate? Teresa Carlson, Vice President of Worldwide Public Sector for Amazon Web Services, shares tales from the field in this episode of the a16z Podcast -- continuing our on-the-road series from Washington, D.C. Adopting a cloud-based approach is one of the ways to democratize entrepreneurship, but how do countries and governments, not just companies and entrepreneurs, think about this, especially given the tendency towards "balkanization"

If the next 20 years of startup-led tech innovation are going to be about addressing massive problems -- like health, energy, transportation, cities, education, and more -- it will mean more directly confronting (instead of stealthily bypassing) regulatory barriers and incumbent-driven regulatory capture challenges. So how can startups "growth hack" in a highly regulated sector? In this episode of the a16z Podcast -- the second of our podcasts from our most recent on-the-road trip in Washington, D.C. -- Evan Burfield, the co-founder and co-CEO of D.C.-based global incubator 1776, outlines the techniques (really, an art form) of "regulatory hacking". It's not just a way to enter a market, but a way to create a market ... much like Elon Musk did with Tesla: using the very system that drops lemons to make lemonade. The technique begins by understanding informal and formal power; "power mapping" the influencers all across the chessboard (from the top down and bottom up); telling your

Sometimes, our career paths are accidental not intentional... but then it all fits together and makes perfect sense in hindsight. This was especially true for Ezra Klein, who went from writing for his college's alternative paper The Fish Wrap Weekly in the early days, to blogging, and then went to The American Prospect; Washington Post (where he started the very popular policy blog Wonkblog); and now, Vox, where he is the editor-in-chief. All without quite knowing, until after the fact, that he happened to be very interested in policy. In this episode of the a16z Podcast -- the first of our podcasts from our most recent on-the-road trip, this time from Washington, D.C. -- Klein shares his views on tech, policy, and more, including: the productivity (measurement) debate, immigration, the Trump x media phenomenon, and media entrepreneurship overall. Oh and on full-stack startups, too.